Records with Subject: Information Management
A Power and Data Decoupled Transmission Method for Wireless Power Transfer Systems via a Shared Inductive Link
Xiaofei Li, Haichao Wang, Xin Dai
September 21, 2018 (v1)
Keywords: data transmission, hysteresis control, signal to noise ratio (SNR), wireless power transfer
Wireless Power Transfer (WPT) technology is gaining global popularity. However, in some applications, data transmission is also required to monitor the load states. This paper presents an alternative wireless power and data transmission method via the shared inductive link. With the method, the system presents three characteristics: (1) controllability and stability of the output voltage; (2) miniaturization in volume of the system; (3) decoupled transmission of power and data. The output voltage control is realized by a non-inductive hysteresis control method. In particular, data is transferred when the power transmission is blocked (i.e., the hysteresis switch is off). The interference between power and data transmission is very small. The signal to noise ratio (SNR) performance which is relevant to the interference from power transfer to data transfer and data transfer capacity, is studied and optimized. Both simulation and experimental results have verified the proposed method.
Exploiting Small World Problems in a SIoT Environment
Rehman Abdul, Anand Paul, Junaid Gul M., Won-Hwa Hong, Hyuncheol Seo
September 21, 2018 (v1)
Keywords: balanced tree, small world, Smart Social Agent (SSA), social internet of things (SIoT)
Internet of Things (IoT) has been at the center of attention among researchers for the last two decades. Their aim was to convert each real-world object into a virtual object. Recently, a new idea of integrating the Social Networking concept into the Internet of Things has merged and is gaining popularity and attention in the research society due to its vast and flexible nature. It comprises of the potential to provide a platform for innovative applications and network services with efficient and effective manners. In this paper, we provide the sustenance for the Social Internet of Things (SIoT) paradigm to jump to the next level. Currently, the SIoT technique has been proven to be efficient, but heterogeneous smart devices are growing exponentially. This can develop a problematic scenario while searching for the right objects or services from billions of devices. Small world phenomena have revealed some interesting facts and motivated many researchers to find the hidden links between... [more]
Efficient and Privacy-Preserving Data Aggregation and Dynamic Billing in Smart Grid Metering Networks
An Braeken, Pardeep Kumar, Andrew Martin
September 21, 2018 (v1)
Keywords: billing, data aggregation, privacy, security, smart grid, smart metering network
The smart grid enables convenient data collection between smart meters and operation centers via data concentrators. However, it presents security and privacy issues for the customer. For instance, a malicious data concentrator cannot only use consumption data for malicious purposes but also can reveal life patterns of the customers. Recently, several methods in different groups (e.g., secure data aggregation, etc.) have been proposed to collect the consumption usage in a privacy-preserving manner. Nevertheless, most of the schemes either introduce computational complexities in data aggregation or fail to support privacy-preserving billing against the internal adversaries (e.g., malicious data concentrators). In this paper, we propose an efficient and privacy-preserving data aggregation scheme that supports dynamic billing and provides security against internal adversaries in the smart grid. The proposed scheme actively includes the customer in the registration process, leading to end-... [more]
Green Production Planning and Control for the Textile Industry by Using Mathematical Programming and Industry 4.0 Techniques
Wen-Hsien Tsai
September 21, 2018 (v1)
Keywords: activity-based costing (ABC), carbon emissions, green manufacturing, Industry 4.0, mathematical programming, textile industry
The textile industry is one of the world’s major sources of industrial pollution, and related environmental issues are becoming an ever greater concern. This paper considers the environmental issues of carbon emissions, energy recycling, and waste reuse, and uses a mathematical programming model with Activity-Based Costing (ABC) and the Theory of Constraints (TOC) to achieve profit maximization. This paper discusses the combination of mathematical programming and Industry 4.0 techniques to achieve the purpose of green production planning and control for the textile industry in the new era. The mathematical programming model is used to determine the optimal product mix under various production constraints, while Industry 4.0 techniques are used to control the production progress to achieve the planning targets. With the help of an Industry 4.0 real-time sensor and detection system, it can achieve the purposes of recycling waste, reducing carbon emission, saving energy and cost, and fina... [more]
Productive Efficiency of Energy-Aware Data Centers
Damián Fernández-Cerero, Alejandro Fernández-Montes, Francisco Velasco
September 21, 2018 (v1)
Keywords: cloud computing, data envelopment analysis, efficiency, energy policies, return-to-scale
Information technologies must be made aware of the sustainability of cost reduction. Data centers may reach energy consumption levels comparable to many industrial facilities and small-sized towns. Therefore, innovative and transparent energy policies should be applied to improve energy consumption and deliver the best performance. This paper compares, analyzes and evaluates various energy efficiency policies, which shut down underutilized machines, on an extensive set of data-center environments. Data envelopment analysis (DEA) is then conducted for the detection of the best energy efficiency policy and data-center characterization for each case. This analysis evaluates energy consumption and performance indicators for natural DEA and constant returns to scale (CRS). We identify the best energy policies and scheduling strategies for high and low data-center demands and for medium-sized and large data-centers; moreover, this work enables data-center managers to detect inefficiencies an... [more]
Energy-Efficient Clusters for Object Tracking Networks
Yang-Hsin Fan
September 21, 2018 (v1)
Keywords: embedded system, energy saving, object tracking networks
Smart cities have hundreds of thousands of devices for tracking data on crime, the environment, and traffic (such as data collected at crossroads and on streets). This results in higher energy usage, as they are recording information persistently and simultaneously. Moreover, a single object tracking device, on a corner at an intersection for example has a limited scope of view, so more object tracking devices are added to broaden the view. As an increasing number of object tracking devices are constructed on streets, their efficient energy consumption becomes a significant issue. This work is concerned with decreasing the energy required to power these systems, and proposes energy-efficient clusters (EECs) of object tracking systems to achieve energy savings. First, we analyze a current object tracking system to establish an equivalent model. Second, we arrange the object tracking system in a cluster structure, which facilitates the evaluation of energy costs. Third, the energy consum... [more]
Stream Data Cleaning for Dynamic Line Rating Application
Hassan M. Nemati, A. Laso, M. Manana, Anita Sant'Anna, Sławomir Nowaczyk
September 21, 2018 (v1)
Keywords: data mining, dynamic line rating, smart grids, stream data cleaning
The maximum current that an overhead transmission line can continuously carry depends on external weather conditions, most commonly obtained from real-time streaming weather sensors. The accuracy of the sensor data is very important in order to avoid problems such as overheating. Furthermore, faulty sensor readings may cause operators to limit or even stop the energy production from renewable sources in radial networks. This paper presents a method for detecting and replacing sequences of consecutive faulty data originating from streaming weather sensors. The method is based on a combination of (a) a set of constraints obtained from derivatives in consecutive data, and (b) association rules that are automatically generated from historical data. In smart grids, a large amount of historical data from different weather stations are available but rarely used. In this work, we show that mining and analyzing this historical data provides valuable information that can be used for detecting an... [more]
An Exploratory Study on Knowledge Management Process Barriers in the Oil Industry
Sebastian Ion Ceptureanu, Eduard Gabriel Ceptureanu, Marieta Olaru, Doina I. Popescu
September 21, 2018 (v1)
Keywords: knowledge barriers, knowledge management, knowledge process, oil industry
This paper identify and discuss barriers affecting knowledge management (KM) processes in the oil industry. Based on reviewing the literature on this topic, we used a conceptual model comprising the most important barriers, grouped in three categories⁻organizational, knowledge and people related⁻influencing four critical KM processes⁻creation, storage, share and application. Using factor analysis, we identified which barriers influence the most each of the KM process and what are the practical implications for companies operating in the oil industry. This study provides useful insights regarding knowledge processes barriers, enabling top executives to better cope with factors hindering successful implementation of KM initiatives.
Design and Implementation of an Optimal Travel Route Recommender System on Big Data for Tourists in Jeju
Lei Hang, Sang-Hun Kang, Wenquan Jin, Do-Hyeun Kim
August 28, 2018 (v1)
Keywords: association rule mining, mobile, route optimization, travel planning, travel route recommendation
A recommender system is currently applied in many different domains, seeking to provide users with recommendation services according to their personalized preferences to relieve rising online information congestion. As the number of mobile phone users is large and growing, mobile tourist guides have attracted considerable research interest in recent years. In this paper, we propose an optimal travel route recommender system by analyzing the data history of previous users. The open dataset used covers the travel data from thousands of mobile tourists who visited Jeju in a full year. Our approach is not only personalized to users’ preferences but also able to recommend a travel route rather than individual POIs (Points of Interest). An association rule mining-based approach, which takes into account contextual information (date, season and places already visited by previous users), is used to produce travel routes from the large dataset. Furthermore, to ensure the reasonability of the re... [more]
An Adaptive Approach Based on Resource-Awareness Towards Power-Efficient Real-Time Periodic Task Modeling on Embedded IoT Devices
Shabir Ahmad, Sehrish Malik, Israr Ullah, Muhammad Fayaz, Dong-Hwan Park, Kwangsoo Kim, DoHyeun Kim
July 31, 2018 (v1)
Keywords: embedded devices, Industry 4.0, input tasks admission control, internet of things, IoT task scheduling, real-time systems
Embedded devices are gaining popularity day by day due to the expanded use of Internet of Things applications. However, these embedded devices have limited capabilities concerning power and memory. Thus, the applications need to be tailored in such a way to perform the specified tasks within the constrained resources with the same accuracy. In Real-Time task scheduling, one of the challenging factors is the intelligent modelling of input tasks in such a way that it produces not only logically correct output within the deadline but also consumes minimum CPU power. Algorithms like Rate Monotonic and Earliest Deadline First compute hyper-period of input tasks for periodic repetition of the same set of tasks on CPU. However, at times when the tasks are not adequately modelled, they lead to an enormously high value of hyper-period which result in more CPU cycles and power consumption. Many state-of-the-art solutions are presented in this regard, but the main problem is that they limit tasks... [more]
Effect of Cooperation on Manufacturing IT Project Development and Test Bed for Successful Industry 4.0 Project: Safety Management for Security
Sangil Park, Jun-Ho Huh
July 31, 2018 (v1)
Keywords: Bluetooth beacons, coding process, computer architecture, industrial processes, Industry 4.0, job safety, safety management, security, test bed, worker’s positional management
A new direction of the 4th industrial revolution in manufacturing and IT industries is presented in this study, wherein the manufacturing sector will be able to survive in this period by achieving rapid and flexible change through effective convergence between both industries. Under such an environment, manufacturing IT requires speedy development and a new distribution form, as well as a new method of IT project development which is adequate for that form. Thus, this study compares and analyzes the waterfall method which is being used in general manufacturing System Integration (SI) projects and the proposed DevOps method, which requires faster distribution and improvement. This study confirms that the required human resources are less than the existing SI projects when system improvement is made using the DevOps method. At the same time, this method provides much-improved quality for the same price. Therefore, future manufacturing IT projects would achieve a faster and more efficient... [more]
Solving Materials’ Small Data Problem with Dynamic Experimental Databases
Michael McBride, Nils Persson, Elsa Reichmanis, Martha A. Grover
July 31, 2018 (v1)
Keywords: classification, database, informatics, materials, Polymers, processing
Materials processing is challenging because the final structure and properties often depend on the process conditions as well as the composition. Past research reported in the archival literature provides a valuable source of information for designing a process to optimize material properties. Typically, the issue is not having too much data (i.e., big data), but rather having a limited amount of data that is sparse, relative to a large number of design variables. The full utilization of this information via a structured database can be challenging, because of inconsistent and incorrect reporting of information. Here, we present a classification approach specifically tailored to the task of identifying a promising design region from a literature database. This design region includes all high performing points, as well as some points having poor performance, for the purpose of focusing future experiments. The classification method is demonstrated on two case studies in polymeric materia... [more]
Design of a Shipboard Outside Communication Network and Its Testbed Using PLC: For Safety Management during the Ship Building Process
Jun-Ho Huh, Taehoon Koh, Kyungryong Seo
July 31, 2018 (v1)
Keywords: industrial processes, Industry 4.0, job safety, PLC, safety management, shadow area, ship building process, shipboard outside communication network, testbed
For the shipbuilding industry worldwide, work-related accidents at the construction site have been a major concern. Workers at the shipyards are consistently exposed to dangerous environments and their intensity of work is quite high. Considering the complexity of the shipbuilding process, efficient communications between workers are essential in the workplace, but current communication methods, which mostly use wireless technologies, are sometimes limited by the structural blocks, creating shadow areas where the radio bands cannot reach. As a countermeasure, SUNCOM Co., Ltd in the Republic of Korea has developed the PLC-based communication system followed by establishing a test-bed facility in cooperation with SK Telecom Co., Ltd and the Hyundai Heavy Industries Co., Ltd. This system and applied technologies are expected to reduce accidents in the field and be applied for other industries having the same problem, providing an uninterrupted communication environment and safer working c... [more]
A Systematic Framework for Data Management and Integration in a Continuous Pharmaceutical Manufacturing Processing Line
Huiyi Cao, Srinivas Mushnoori, Barry Higgins, Chandrasekhar Kollipara, Adam Fermier, Douglas Hausner, Shantenu Jha, Ravendra Singh, Marianthi Ierapetritou, Rohit Ramachandran
July 31, 2018 (v1)
Keywords: continuous pharmaceutical manufacturing, data management, ISA-88, OSI Process Information (PI), recipe
As the pharmaceutical industry seeks more efficient methods for the production of higher value therapeutics, the associated data analysis, data visualization, and predictive modeling require dependable data origination, management, transfer, and integration. As a result, the management and integration of data in a consistent, organized, and reliable manner is a big challenge for the pharmaceutical industry. In this work, an ontological information infrastructure is developed to integrate data within manufacturing plants and analytical laboratories. The ANSI/ISA-88.01 batch control standard has been adapted in this study to deliver a well-defined data structure that will improve the data communication inside the system architecture for continuous processing. All the detailed information of the lab-based experiment and process manufacturing, including equipment, samples and parameters, are documented in the recipe. This recipe model is implemented into a process control system (PCS), dat... [more]
A Distributed Approach towards Improved Dissemination Protocol for Smooth Handover in MediaSense IoT Platform
Shabir Ahmad, Ishfaq Hussain, Muhammad Fayaz, Do-Hyeun Kim
July 31, 2018 (v1)
Keywords: handover management, Internet of Things, wireless sensor networks
Recently, the Internet has been utilized by many applications to convey time-sensitive messages. The persistently expanding Internet coverage and its easy accessibility have offered to ascend to a problem which was once regarded as not essential to contemplate. Nowadays, the Internet has been utilized by many applications to convey time-sensitive messages. Wireless access points have widely been used but these access points have limitations regarding area coverage. So for covering a wider space, various access points need to be introduced. Therefore, when the user moves to some other place, the devices expected to switch between access points. Packet loss amid the handovers is a trivial issue. MediaSense is an Internet of Things distributed architecture enabling the development of the IoT application faster. It deals with this trivial handover issue by utilizing a protocol called Distributed Context eXchange Protocol. However, this protocol is centralized in nature and also suffers in... [more]
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